Organizational data.

Autor/in	Liebig, Stefan
Titel	Organizational data. Gefälligkeitsübersetzung: Organisationsdaten.
Quelle	Aus: Building on progress. Expanding the research infrastructure for the social, economic and behavioral sciences. Vol. 2. Opladen: B. Budrich (2010) S. 985-999 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISBN	978-3-940755-58-2
Schlagwörter	Methodologie; Sekundäranalyse; Deutschland; Dokumentation; Infrastruktur; Organisation; Qualität; Schule; Sozialwissenschaften; Statistik; Unternehmen; Hochschule; Amtliche Statistik; Daten; Methodologie; Sekundäranalyse; Schule; Unternehmen; Sozialwissenschaften; Statistik; Wirtschaftswissenschaft; Hochschule; Institut für Arbeitsmarkt- und Berufsforschung; Amtliche Statistik; Daten; Infrastruktur; Organisation; Qualität; Bundesagentur für Arbeit; Deutsche Bundesbank; Institut für Arbeitsmarkt- und Berufsforschung; Statistisches Bundesamt; Deutsche Bundesbank; Dokumentation; Deutschland; Bundesagentur für Arbeit
Abstract	"Organizational data describe central characteristics of organizations, their internal structures and processes as well as their behavior as corporate actors in different social and economic contexts. Firm and enterprise data are the most frequently used type of organizational data, but there is also a growing interest in data on schools, universities, and hospitals in the economic and social science research. In the last several years, there has been a substantial improvement in the accessibility and scientific usability of organizational data from official statistics. However, nonofficial organizational data produced within publicly funded research projects are practically impossible to obtain for secondary analyses. There is no documentation of the existing stock of non-official organizational data, and the methodological standards used for organizational research in Germany are low compared to the standards of international research. Against this background, it is recommended that efforts be focused on documenting and archiving the existing non-official organizational data for secondary analyses and on establishing higher methodological standards within this research field." (author's abstract).
Erfasst von	GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim
Update	2011/3